Data Wrangling with MongoDB

About this Course

In this course, we will explore how to wrangle data from diverse sources and shape it to enable data-driven applications. Some data scientists spend the bulk of their time doing this!

Students will learn how to gather and extract data from widely used data formats. They will learn how to assess the quality of data and explore best practices for data cleaning. We will also introduce students to MongoDB, covering the essentials of storing data and the MongoDB query language together with exploratory analysis using the MongoDB aggregation framework.

This is a great course for those interested in entry-level data science positions as well as current business/data analysts looking to add big data to their repertoire, and managers working with data professionals or looking to leverage big data.

Case Study - OpenStreetMap Data

Prerequisites and Requirements

Programming experience in Python or a willingness to read a little documentation to understand examples and exercises throughout the course.

The ability to perform rudimentary system administration on Windows or Unix

At least some experience using a unix shell or Windows PowerShell will be helpful, but is not required.

No prior experience with databases is needed.

About MongoDBThis course is developed in conjunction with MongoDB, Inc., the originator and primary contributor to the open source database MongoDB. MongoDB is the leading NoSQL database. Designed for how we build and run applications today, MongoDB empowers organizations to be more agile and scalable. It enables new types of applications, better customer experience, faster time to market and lower costs.